Triple

T14333873
Position Surface form Disambiguated ID Type / Status
Subject Potsdam-Mittelmark E355420 entity
Predicate containsTown P847 FINISHED
Object Teltow E632875 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Teltow | Statement: [Potsdam-Mittelmark, containsTown, Teltow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teltow
Context triple: [Potsdam-Mittelmark, containsTown, Teltow]
  • A. Teltow chosen
    Teltow is a town in the German state of Brandenburg, located just southwest of Berlin and known for its historical core and proximity to the capital.
  • B. Prignitz
    Prignitz is a rural district in northwestern Brandenburg, Germany, known for its historic towns, agricultural landscapes, and location along the Elbe River.
  • C. Tornesch
    Tornesch is a small town in the district of Pinneberg in Schleswig-Holstein, northern Germany, known for its residential character and proximity to Hamburg.
  • D. Müritz
    Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
  • E. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469634688190980df59ee482b792 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.